test-genie-mcp
Related Servers
Alternatives to test-genie-mcp
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceAutonomous QA testing MCP server that analyzes, fixes, and learns from test failures. Integrates with IDE and Slack to provide cause and fix in plain language.3112 npmMIT
- FlicenseAqualityDmaintenanceAutomated Playwright E2E test repair powered by a self-improving, governed MCP server that runs failing tests, collects failure artifacts, reasons about root causes, validates and applies fixes, and re-runs to verify.12-
- AlicenseNot gradedqualityBmaintenanceMCP server for self-healing Selenide + Cucumber regression tests, using AI to fix failed locators and rerun tests.MIT

AWARSEofficial
AlicenseAqualityBmaintenanceSelf-healing browser automation MCP server integrating Playwright with LLM-assisted locator repair.61MIT- FlicenseBqualityBmaintenanceMCP server for AI-powered QA analysis. It enables analyzing test failures, identifying root causes, suggesting fixes, classifying defects, detecting flaky tests, and generating test cases and bug reports.10-
- AlicenseNot gradedqualityDmaintenanceAI-powered E2E testing MCP server. Point at a URL — AI generates test scenarios, runs Playwright tests, and self-heals failures automatically. Works on Canvas and Flutter Web apps.7MIT
TDQS
Scored across 23 tools
Most tools have distinct purposes (e.g., analyze_app_structure vs analyze_code_deep vs analyze_performance). The main overlap is between the comprehensive diagnose_project and the individual detectors, but their descriptions clearly differentiate them. Slight potential confusion exists between analyze_code_deep and detect_logic_errors due to overlapping 'issues' coverage.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., analyze_app_structure, run_scenario_test, generate_report). The naming convention is uniform across the entire set, with no mixed styles or vague verbs.
23 tools is on the heavier side and falls into the borderline range for a typical MCP server. While the domain is broad and each tool has a role, the redundancy between combined and stand-alone detectors (e.g., diagnose_project vs detect_race_conditions) adds some unnecessary weight.
The tool set covers a full lifecycle: analysis, scenario generation, planning, execution, detection, fixing, reporting, and CI/CD. However, there are minor gaps such as no explicit tools for listing or deleting stored scenarios/test plans, which may require workarounds.